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Answering Top-k Representative Queries on Graph Databases

Summary: Top-k representative queries on graph databases; cast as Set Cover, solved by a greedy algorithm with provable approximation guarantees. NB-Index indexes theta-neighborhoods via Lipschitz embedding and agglomerative clustering, delivering up to two orders of magnitude speedups on real graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4895
Venue
SIGMOD
Year
2014
Pagerank
5.2214553e-05
Overall Rank
6,080 | 57.71%
DOI
10.1145/2588555.2610524

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,468 Comprehensive and Efficient Workload Compression 2021 VLDB 6.1584035e-05
6,366 ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning 2022 SIGMOD 5.0943443e-05
8,210 Mining Top-k Pairs of Correlated Subgraphs in a Large Network 2020 VLDB 4.5581054e-05
9,887 Graph Exploration: From Users to Large Graphs 2017 SIGMOD 4.2621158e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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